VivaCoach is an AI-based tool designed to provide comprehensive, personalized preparation for thesis defence.
Expert Video Review by SEOGANT · March 2026
VivaCoach is an AI-based tool designed to provide comprehensive, personalized preparation for thesis defence. It operates based on user-friendly principles that allow you to upload your thesis and simulate a real-world defence scenario.
The tool leverages artificial intelligence to critically study your research, arguments, and methodology, generating a set of probing questions that mimic what you're likely to face during the actual defense.
Its core value proposition lies in replicating the intensity and rigour of the real-world viva experience, enabling users to anticipate the questions and challenges they might encounter during their defence.
By providing such immersive practice, VivaCoach helps users gain the confidence and insights they need to successfully defend their thesis. The system is versatile and is applicable across a range of academic fields, being capable of understanding and generating queries based on different types of research and methodologies.
This ensures its adaptability to the needs of a wide array of students, enabling efficient preparation for their thesis defence. It must be noted, however, that despite its high-level capabilities, VivaCoach should be used as a supplemental tool to prepare for a thesis defense and not as the sole resource, due to the unpredictable and human-centric nature of actual viva sessions.
The core technical mechanism of VivaCoach is dissertation analysis: users upload their full thesis or dissertation, and the AI reads the methodology, argumentation, literature review, and findings to generate a customized set of likely examiner questions.
These aren't generic viva questions pulled from a list they are grounded in the specific claims, gaps, and methodological choices present in the uploaded work.
This means a student preparing for a philosophy viva gets probing questions about their epistemological framework, while a data science PhD candidate faces technical challenges about their model validation approach.
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